Asynchronous Spiking Neural P Systems With Rules Working in the Rule Synchronization Mode

被引:1
作者
Jin, Yu [1 ]
Zhang, Luping [2 ]
机构
[1] Zhejiang Univ, Sch Math Sci, Hangzhou 310058, Zhejiang, Peoples R China
[2] Huazhong Univ Sci & Technol, Sch Automat, Key Lab Image Proc & Intelligent Control, Educ Minist China, Wuhan 430074, Hubei, Peoples R China
基金
中国国家自然科学基金;
关键词
Neurons; Synchronization; Synapses; Standards; Nanobioscience; Biomembranes; Heating systems; Bio-inspired computing; membrane computing; spiking neural P systems; rule synchronization; universality; SYNAPSES WORKING;
D O I
10.1109/TNB.2021.3131755
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Asynchronous spiking neural P systems with rules on synapses (ARSSN P systems) are a class of computation models, where spiking rules are placed on synapses. In this work, we investigate the computation power of ARSSN P systems working in the rule synchronization mode, where a family of rule sets are specified, and all the rules in a such set should be synchronously used or not. We prove that ARSSN P systems working in the rule synchronization mode are universal as number generating. Additionally, two universal ARSSN P systems working in the rule synchronization mode are constructed to accept numbers and compute functions, respectively. The results indicate that rule synchronization set is a powerful ingredient for resource-saving, as the constructed universal ARSSN P systems with rule synchronization sets use less neurons than the counterpart universal systems without such sets.
引用
收藏
页码:3 / 10
页数:8
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